{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f0a218b9-caaf-4fa4-81db-944cca2b98d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "18c341c7-c4dc-42d8-bb3e-18674ffb57df",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5e594e1-41cb-48bb-b715-0b996865df30",
   "metadata": {},
   "source": [
    "# 基于KNN模型的鲍鱼年龄预测"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "927298cd-fb58-4c58-9257-8ac84e5ae531",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 一、导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d1042b78-e3f9-4435-92b7-ec63b3a18f4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_names = ['性别', '长度', '直径', '高度', '整体重量', '去壳重量', '内脏重量', '壳重量', '年龄']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "71473f68-2c33-4825-ab2d-7002784670c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>性别</th>\n",
       "      <th>长度</th>\n",
       "      <th>直径</th>\n",
       "      <th>高度</th>\n",
       "      <th>整体重量</th>\n",
       "      <th>去壳重量</th>\n",
       "      <th>内脏重量</th>\n",
       "      <th>壳重量</th>\n",
       "      <th>年龄</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.5140</td>\n",
       "      <td>0.2245</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>0.150</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.265</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.2255</td>\n",
       "      <td>0.0995</td>\n",
       "      <td>0.0485</td>\n",
       "      <td>0.070</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1</td>\n",
       "      <td>0.530</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.135</td>\n",
       "      <td>0.6770</td>\n",
       "      <td>0.2565</td>\n",
       "      <td>0.1415</td>\n",
       "      <td>0.210</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.5160</td>\n",
       "      <td>0.2155</td>\n",
       "      <td>0.1140</td>\n",
       "      <td>0.155</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.2050</td>\n",
       "      <td>0.0895</td>\n",
       "      <td>0.0395</td>\n",
       "      <td>0.055</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   性别     长度     直径     高度    整体重量    去壳重量    内脏重量    壳重量  年龄\n",
       "0   1  0.455  0.365  0.095  0.5140  0.2245  0.1010  0.150  15\n",
       "1   1  0.350  0.265  0.090  0.2255  0.0995  0.0485  0.070   7\n",
       "2  -1  0.530  0.420  0.135  0.6770  0.2565  0.1415  0.210   9\n",
       "3   1  0.440  0.365  0.125  0.5160  0.2155  0.1140  0.155  10\n",
       "4   0  0.330  0.255  0.080  0.2050  0.0895  0.0395  0.055   7"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_table('../dataset/abalone.txt', names=feature_names)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6341d59a-11a9-4b8d-ad0e-b36a13cade03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.    ,  0.455 ,  0.365 , ...,  0.2245,  0.101 ,  0.15  ],\n",
       "       [ 1.    ,  0.35  ,  0.265 , ...,  0.0995,  0.0485,  0.07  ],\n",
       "       [-1.    ,  0.53  ,  0.42  , ...,  0.2565,  0.1415,  0.21  ],\n",
       "       ...,\n",
       "       [ 1.    ,  0.6   ,  0.475 , ...,  0.5255,  0.2875,  0.308 ],\n",
       "       [-1.    ,  0.625 ,  0.485 , ...,  0.531 ,  0.261 ,  0.296 ],\n",
       "       [ 1.    ,  0.71  ,  0.555 , ...,  0.9455,  0.3765,  0.495 ]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = df.loc[:, '性别': '壳重量'].values\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e46acf77-a885-4881-8892-3ff19ef5ff44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4177, 8)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "338a3659-b7db-4db4-b1df-4a7578900330",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([15,  7,  9, ...,  9, 10, 12], dtype=int64)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target = df.iloc[:, -1].values\n",
    "target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e964e876-50fb-45e5-9db7-13e66b38c435",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4177,)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8db631e5-d4d6-4080-988b-5b451e0660a0",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 二、分割数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c62f0fce-1e25-49b3-b2dc-96b0856b8b7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(data, target, test_size=0.2, random_state=1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4fa7b427-0267-4381-a87b-c4ed9bddbd29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3341, 8)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(836, 8)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "892abde1-9377-4113-837f-b63ecb2f21c2",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 三、基于KNN模型（不进行标准化和归一化）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8c1eb710-8949-40af-b5cf-025aada6e977",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1f9da065-4380-4d25-9681-dc0ee06a8909",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "875ef0ae-4927-4319-9a82-f85fe64226b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0610360b-d952-436b-a6af-64b730e498f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5228360366792879"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dc9f7346-97e9-4bf4-9617-ccea98c5447c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2*5, 1*4))\n",
    "\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.plot(np.linspace(1, 100, num=100), y_test[:100], marker='*', markersize=6, label='True')\n",
    "axes1.plot(np.linspace(1, 100, num=100), y_pred[:100], marker='o', markersize=4, label='Pred')\n",
    "axes1.legend()\n",
    "\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "axes2.scatter(y_pred, y_test)\n",
    "axes2.plot(np.linspace(1, 20, num=25), np.linspace(1, 25, num=25), c='r')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f34f2500-1de6-4970-8470-11d46a498f9a",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 四、基于KNN模型（只进行归一化处理）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ea74927c-6382-4448-a805-1641f8a307b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fdb43abe-2ca2-44c1-a5f5-1e8e08ba178a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a5ce80ae-c54e-4599-8cb9-05eed7f80a1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "522915c8-08be-4957-825c-10e3368d226c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsRegressor</label><div class=\"sk-toggleable__content\"><pre>KNeighborsRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train_scaled, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9ee74e23-5fcd-48fd-b0c2-695f3195c5b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e9e1aa1e-57d1-4c43-9df6-4a9bb3a42ee1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.38120284610847033"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test_scaled, y_test)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "2324ffb8-93c0-4d06-961a-0e99413d31e1",
   "metadata": {},
   "source": [
    "【注】进行了归一化处理，反而使得模型性能变低了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "186cd3d7-c97e-4e16-a4d9-80a678fa0e69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2*5, 1*4))\n",
    "\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.plot(np.linspace(1, 100, 100), y_test[:100], label='True', marker='*', markersize=6)\n",
    "axes1.plot(np.linspace(1, 100, 100), y_pred[:100], label='Pred', marker='o', markersize=4)\n",
    "axes1.legend()\n",
    "\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "axes2.scatter(y_pred, y_test)\n",
    "axes2.plot(np.linspace(0, 25, 10), np.linspace(0, 25, 10), c='r')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50105f1f-de27-4ef5-a5d2-661622b7613a",
   "metadata": {},
   "source": [
    "左图可知y_pred和y_test重合区域明显变小了；\n",
    "\n",
    "右图中若y_pred和y_test越接近，则图像越聚集在红色线附近，但图中明显更为分散。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ef59b33-73de-4faa-8f47-b05571baf4a5",
   "metadata": {},
   "source": [
    "## 五、基于KNN模型（只进行标准化处理）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a6b34633-de41-4b16-b0f7-41291ca0214f",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f8710522-19d0-44f4-9bcd-14af3baa0c79",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_scaled = scaler.fit_transform(X_train)\n",
    "X_test_scaled = scaler.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "bc5a7ab3-56a4-4455-97be-9400800b14a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "knn = KNeighborsRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "89afb0ab-aecd-4cc5-85c8-e4d381419913",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsRegressor()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsRegressor</label><div class=\"sk-toggleable__content\"><pre>KNeighborsRegressor()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KNeighborsRegressor()"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.fit(X_train_scaled, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "615df388-8a9a-4408-bb26-4f90beed2378",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = knn.predict(X_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "6d8dbcbf-1003-46c5-b7f1-1db74cc44e33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5031003857306836"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn.score(X_test_scaled, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "703748e5-a443-4a6a-b1fa-9e42900bf9d6",
   "metadata": {},
   "source": [
    "【注】相比进行了归一化的模型好一些，但对比不进行归一化和标准化的模型效果还是差些"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "376ee94a-0461-4a4e-90dd-15ddd270a8ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(2*5, 1*4))\n",
    "\n",
    "axes1 = plt.subplot(1, 2, 1)\n",
    "axes1.plot(np.linspace(1, 100, 100), y_test[:100], label='True', marker='*', markersize=6)\n",
    "axes1.plot(np.linspace(1, 100, 100), y_pred[:100], label='Pred', marker='o', markersize=4)\n",
    "axes1.legend()\n",
    "\n",
    "axes2 = plt.subplot(1, 2, 2)\n",
    "axes2.scatter(y_pred, y_test)\n",
    "axes2.plot(np.linspace(0, 25, 10), np.linspace(0, 25, 10), c='r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "271fab0f-71e1-4cb5-bf3a-39b8f0e60a77",
   "metadata": {},
   "source": [
    "【注】说明了进行标准化和归一化的预处理操作，不一定能提升模型性能"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4fbbc505-63be-4825-8531-c39c641a18e9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
